Aggregate Estimation in Hidden Database Using...

Aggregate Estimation in Hidden Database Using Checkbox Interface

Author Name : Navnath Mane, Swati Joshi

ABSTRACT

The modern automation or digital world revolves around the database and the tactics to retrieve as mining of the database. The database is nothing but collecting and managing the data stored in the backend. An enormous chunk of data is concealed within the database along with other searching resources. The data retrieved from the analysis reveals that about 96% of the web content is hidden or invisible data. The surface web is usually accessible, visible, and unrestricted for everyone globally who uses the internet.  This data can consist of prominent information; the research reveals that massive amounts of data are vital and valuable like Infomine, clump, which access intending to build up deep web sources in specific domains. These data types are only utilized by the effective crawlers seeking web data exclusively and exploring swiftly. The paper tries to analyze the existing methodology implemented for retrieving the hidden data and their loopholes to analyze the objectivity of the research keenly. The research's motive is to explore the checkbox interface for extracting the data from the hidden source.